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- Nabile M Safdar, John D Banja, and Carolyn C Meltzer.
- Department of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia; Department of Biomedical Informatics, Emory University, Atlanta, Georgia.
- Eur J Radiol. 2020 Jan 1; 122: 108768.
AbstractWith artificial intelligence (AI) precipitously perched at the apex of the hype curve, the promise of transforming the disparate fields of healthcare, finance, journalism, and security and law enforcement, among others, is enormous. For healthcare - particularly radiology - AI is anticipated to facilitate improved diagnostics, workflow, and therapeutic planning and monitoring. And, while it is also causing some trepidation among radiologists regarding its uncertain impact on the demand and training of our current and future workforce, most of us welcome the potential to harness AI for transformative improvements in our ability to diagnose disease more accurately and earlier in the populations we serve.Copyright © 2019 Elsevier B.V. All rights reserved.
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